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Dual synaptic plasticity in the hippocampus: Hebbian and spatiotemporal learning dynamics

机译:海马的双重突触可塑性:赫比和时空学习动态

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摘要

We assume that Hebbian learning dynamics (HLD) and spatiotemporal learning dynamics (SLD) are involved in the mechanism of synaptic plasticity in the hippocampal neurons. While HLD is driven by pre- and postsynaptic spike timings through the backpropagating action potential, SLD is evoked by presynaptic spike timings alone. Since the backpropagation attenuates as it nears the distal dendrites, we assume an extreme case as a neuron model where HLD exists only at proximal dendrites and SLD exists only at the distal dendrites. We examined how the synaptic weights change in response to three types of synaptic inputs in computer simulations. First, in response to a Poisson train having a constant mean frequency, the synaptic weights in HLD and SLD are qualitatively similar. Second, SLD responds more rapidly than HLD to synchronous input patterns, while each responds to them. Third, HLD responds more rapidly to more frequent inputs, while SLD shows fluctuating synaptic weights. These results suggest an encoding hypothesis in that a transient synchronous structure in spatiotemporal input patterns will be encoded into distal dendrites through SLD and that persistent synchrony or firing rate information will be encoded into proximal dendrites through HLD.
机译:我们假设,在海马神经元中突触可塑性的机制中涉及到Hebbian学习动力学(HLD)和时空学习动力学(SLD)。虽然HLD由突触前和突触后尖峰时序通过反向传播动作电位驱动,但SLD仅由突触前尖峰时序引起。由于反向传播随着靠近远端树突而衰减,因此我们将神经元模型假设为极端情况,其中HLD仅存在于近端树突而SLD仅存在于远端树突。我们研究了计算机模拟中突触权重如何响应三种类型的突触输入而变化。首先,响应具有恒定平均频率的泊松序列,HLD和SLD中的突触权重在质量上相似。其次,SLD对同步输入模式的响应比HLD响应更快,而每个输入模式都对它们做出响应。第三,HLD对更频繁的输入反应更快,而SLD的突触权重却在波动。这些结果提出了一种编码假设,即时空输入模式中的瞬态同步结构将通过SLD编码到远端树突中,而持久性同步或发射速率信息将通过HLD编码到近端树突中。

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